How does the multi-head attention mechanism in Transformers improve upon single-head attention?

The multi-head attention mechanism in Transformers improves upon single-head attention by allowing the model to attend to different parts of the input sequence in multiple ways simultaneously. Single-head attention calculates attention weights based on a single set of query, key, and value matrices, which limits the model's ability to capture diverse relationships between words in the input sequence. Multi-head attention addresses thi....